The analysis of the relationship between time and cost is a crucial aspect of construction
project management. Various optimization techniques have been developed to solve time …

The present study focuses on the problem of vehicle routing with limited capacity, with the
objective of minimizing the transportation distance required to serve h clients with …

The sine cosine algorithm (SCA) is widely recognized for its efficacy in solving optimization
problems, although it encounters challenges in striking a balance between exploration and …

This study presents the mutation–crossover slime mold algorithm (MCSMA) to balance the
time, cost, quality, and work continuity in a particular construction project. The slime mold …

Due to complexity and dynamics of construction work, resource, and cash flows, poor
management of them usually leads to time and cost overruns, bankruptcy, even project …

The purpose of this research study is to solve a four‐objective optimization problem in the
construction industry using a hybrid model that combines the slime mould algorithm (SMA) …

It is challenging to optimize the time–cost–quality–safety (TCQS) trade-off in projects since
the variables constantly conflict with one another. This study suggests a hybrid model for …

Various optimization approaches have been proposed in the past three decades to address
the design cost optimization problem of water distribution systems. However, recently …

Precast concrete component utilization for building projects has been considered to become
the leading trend in construction industry around the world. The logistics costs for precast …

Construction logistics is an influential participant in the overall urban freight network and a
bottle neck for an efficient construction process. Especially in the urban area …